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Paper Citation Record · LEDGER

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2501.07556.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.07556 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:59.643776Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T20:17:21.139655Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a0dc376e-9598-436d-9b13-adae4bdab0a9 · inbound

Deep Learning Reforms Image Matching: A Survey and Outlook cites this paper.

Deep Learning Reforms Image Matching: A Survey and Outlook MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-07T10:41:59.643776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:41:59.643776Z digest=sha256:1890191f1b2326d10ae5b5eec1e2a3653522ddd4bf7f7693de2802be7619f436

Observation 0af99571-99c4-48ef-ba1b-88d628effb0a · inbound

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching cites this paper.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:12.818463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:12.818463Z digest=sha256:9e30fd41d04cb5863e0b972f3654efc26294a322b5ddf95fb5aecf07c5068c40

Observation 8d956fe0-0779-45b0-a5fc-97ce2918c6dd · inbound

Precise Action-to-Video Generation Through Visual Action Prompts cites this paper.

Precise Action-to-Video Generation Through Visual Action Prompts MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T19:15:31.712338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:15:31.712338Z digest=sha256:862089b32e0c1c5b839591ee7f86dd8fdeb2326ce1479e7e196c73b7a7bbc836

Observation b95ba266-06ec-4e0c-b13a-98ddde4a9d14 · inbound

OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation cites this paper.

OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T09:56:48.968900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:56:48.968900Z digest=sha256:8ac3da733f808093002077cafc79b591e85228b7004bfde5da3c1032b1cef4cf

Observation 037a8f09-ebde-4195-b522-79d3c61bd404 · inbound

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? cites this paper.

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration? MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:55:59.487030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:54:47.440053Z digest=sha256:db22fe64baf4c469f9f9dbc47e7310a63474fe1166604813b49f7c439fe608d6

Observation ee34e4da-9f82-4160-91e9-bf1cf7c0a33d · inbound

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras cites this paper.

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:56:29.726946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:27:01.782937Z digest=sha256:b4dea5d077264c24d34ea64d2ed4e2e94bc2bed2967edbca4c2bd5c36cd2401e

Observation ed412d76-b006-4d38-a53e-e63035f97c9e · inbound

RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration cites this paper.

RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:19.109434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:39:34.564301Z digest=sha256:ed1c08760b640bf8070518a3afa53469e53caa0040d48a3089592cf8708fe665

Observation 4bc71519-5f70-44b3-9c0c-dc9cf6b18bd6 · inbound

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images cites this paper.

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:41.376648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:36:25.904345Z digest=sha256:a7a3dff0ffde2d16a8d4f48f8f85a220eec174ea2fef03cd0b537b5405db7062

Observation b40fbd99-ffb4-4eb8-b357-19999d9a1d1b · inbound

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images cites this paper.

AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.141084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T20:12:25.636045Z digest=sha256:a58556fa9a7dc923c371c8d235acc52281fe6a2e3f63b551ad344c2b7bde9288

Observation 16e5e4e5-b82c-4088-9f5b-7f166f5bd30e · inbound

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects cites this paper.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T21:39:37.670346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:39:37.670346Z digest=sha256:027a2b3c95f8d5f2d42d92636c21ca46407e897cdb7e8a2d59a0448dbcb1a570

Observation cabad9b0-cb53-4a6c-b188-7fddab3dbc62 · inbound

RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs cites this paper.

RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T10:51:22.418831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:51:22.418831Z digest=sha256:a599ae0237f0230b006376a124edd889c7a7a70d3e9760a6338540900e1e0c87

Observation 85a0b957-6bd0-4fb9-b697-e9cabad2e44e · inbound

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models cites this paper.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T04:59:31.679552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:59:31.679552Z digest=sha256:aba7fe8b74fb95dae3391e99708421bcf032432fc9b9e62ce9bc6e83c0f5d074